Search Results for "genetic" - Page 4
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Showing 402 open source projects for "genetic"
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BrightGauge, a ConnectWise solution, was started in 2011 to fill a missing need in the small-to-medium IT Services industry: a better way to manage data and provide the value of work to clients. BrightGauge Software allows you to display all of your important business metrics in one place through the use of gauges, dashboards, and client reports. Used by more than 1,800 companies worldwide, BrightGauge integrates with popular business solutions on the market, like ConnectWise, Continuum, Webroot, QuickBooks, Datto, IT Glue, Zendesk, Harvest, Smileback, and so many more. Dig deeper into your data by adding, subtracting, multiplying, and dividing one metric against another. BrightGauge automatically computes these formulas for you. Want to show your prospects how quick you are to respond to tickets? Show off your data with embeddable gauges on public sites.
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NEW OPTIMIZATION TECHNOLOGY & PLANNING EXPERIMENT. Technology is designed for multidimensional optimization practical problems with continuous object functions. Technology higher efficiency than traditional optimization methods.
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Trinculo
Flexible tools for multinomial association
An efficient toolkit for carrying out genetic association for multi-catagory phenotypes. Implements multinomial and ordinal association incorporating covariates, conditional analysis, empirical and non-emperical priors and fine-mapping. -
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riboFR-seq
A novel approach to linking 16S rRNA amplicon profiles to metagenomes
16S rRNA amplicon analysis and shotgun metagenome sequencing are two main culture-independent strategies to explore the genetic landscape of various microbial communities. Recently, numerous studies have employed these two approaches together, but downstream data analyses were performed separately, which always generated incongruent or conflict signals on both taxonomic and functional classifications. Here we propose a novel approach, RiboFR-Seq (Ribosomal RNA gene Flanking Region Sequencing... -
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REDHORSE
Software suite for the analysis of haploid hybrids using NGS
... and genomic positions to accurately detect crossovers. REDHORSE is portable and platform independent suite that provides efficient analysis of genetic crosses based on NGS data. -
As your users rely more and more on Cloud and Internet-based technologies, reliable internet connectivity becomes more and more important to your business. With Bigleaf’s proven SD-WAN architecture, groundbreaking AI, and DDoS attack mitigation, you can finally deliver the reliable internet connectivity your business needs without the limitations of traditional networking platforms. Bigleaf’s Cloud Access Network and plug-and-play router allow for limitless control to and from anywhere your traffic needs to go. Bigleaf’s self-driving AI automatically identifies and adapts to any changing circuit conditions and traffic needs—addressing issues before they impact your users. Bigleaf puts you in the driver’s seat of every complaint and support call with full-path traffic and network performance data, delivered as actionable insights, reports, and alerts.
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SFS_CODE (Selection on Finite Sites under COmplex Demographic Events) performs forward population genetic simulations under a general Wright-Fisher model with arbitrary demographic, selective, and mutational effects.
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AAARF, written in PERL and with numerous adjustable parameters, identifies sequence overlaps in small shotgun sequence datasets and walks them out to create long pseudomolecules representing the most abundant repeats in a genome.
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GeneticAlgorithms
Framework for using the Genetic Algorithms optimization heuristic.
GeneticAlgorithms is a simple and lightweight framework to implement an optimization heuristic following the Genetic Algorithms model. A genetic algorithm mimics the natural processes of evolution, selection and "survival of the fittest". This framework is intuitive and good integrated with Java 1.5 SDK and later. -
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A set of tools for working with VCF files, such as those generated by the 1000 Genomes Project. This project is migrating to github: https://vcftools.github.io/
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GOBIG is a toolbox that can be used for detecting genetic variations. The project is intended to handle big data. What's more important is that it be used to detect clusters of SNP variants. It is the intention to use the toolbox with common and rare variants. To use it, for example, to find the genetic map of genes causing complex diseases.
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We design our technology to make workforce management easier. APS offers core HR, payroll, benefits administration, attendance, recruiting, employee onboarding, and more.
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HetRank
R tool to address genetic heterogeneity in exome sequencing studies
An implementation in R of HetRank: a gene-ranking approach which incorporates biological network information to address genetic heterogeneity in exome-sequencing studies of monogenic diseases. -
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LDhat
Estimate Recombination Rates from Population Genetic Data
LDhat is a package written in the C language for the analysis of recombination rates from population genetic data. This package has migrated to github: https://github.com/auton1/LDhat -
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Toolkit for processing genetic data. Currently supports (command-line): Half-IBD (Identity by descent) aka HIRs - between 2 or any number of files (in distances and cM); RAW2PED, PED2RAW conversions; regions of homozygousity and other converters.
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JGAP is a Genetic Algorithms and Genetic Programming package written in Java. It is designed to require minimum effort to use, but is also designed to be highly modular. JGAP features grid functionality and a lot of examples. Many unit tests included. Legal notice/Impressum: Klaus Meffert An der Struth 25 D-65510 Idstein sourceforge <at> klausmeffert.de
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MOEA Framework
A Free and Open Source Java Framework for Multiobjective Optimization
The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3 and MOEA/D. In addition, the MOEA... -
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PRIMUS
Pedigree Reconstruction and Identification of a Maximum Unrelated Set
NEW: Download new version with Pedigree Reconstruction at primus.gs.washington.edu This versions is outdated and incomplete. Please visit the new website for the complete version of PRIMUS. We present a method adapted from graph theory that always identifies the maximum set of unrelated individuals in any dataset, and allows weighting parameters to be utilized in unrelated sample selection. PRIMUS reads in user-generated IBD estimates and outputs the maximum possible set of unrelated... -
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Java CoreWars Evolver
A Java based, pMars compatible, CoreWars simulator with GA
A Java based, pMars compatible, CoreWars simulator with Genetic Algorithm warrior evolver functionality. Java 8 is needed. See [Wiki:Tutorial] -
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HaploView is a Java based tool for use by biologists in the study of genetic haplotype data. It provides a quick, easy interface to many common tasks involved in such analyses. Please go to the homepage below for the latest version!
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RANGE: produce random genetic transcription networks in the NEMO language, which when compiled outputs models in Systems Biology Markup Language. Generate synthetic microarray data, or use NEMO alone to SBML-ize a network, or visualize it in cytoscape.
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Virus QSP Modeling
C++ and Python code for simulating RNA virus replication
Stochastic simulation model of poliovirus Sabin-to-Mahoney genetic state transition (C++ code). Models genotypes, virus populations, and quasispecies cloud. Simulates replication error and copy-choice recombination. Various parameters guiding the model are user-specified. Python code post-processes simulation output to produce report files. -
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GeneticThesaurus
Annotation of genetic variants in repetitive regions
GeneticThesaurus enables analysis of genetic variation in repetitive regions. See project wiki for details. -
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gametes
Generate complex SNP models and heterogeneous datasets
Genetic Architecture Model Emulator for Testing and Evaluating Software (GAMETES) is an algorithm for the generation of complex single nucleotide polymorphism (SNP) models for simulated association studies. GAMETES is designed to generate epistatic models which we refer to as pure and strict, that constitute the worst-case in terms of detecting disease associations, since such associations may only be observed if all n-loci are included in the disease model. User friendly GAMETES software... -
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GenEng
Copyright (c) 2015 Walter Milner. License is GPL version 3
This is a research project to develop software which can predict changes in a stock price. The basis is genetic engineering. We start with a population of 'programs' and historical data about price changes of some stocks. We rank the programs by their accuracy in price changes. We cull the worst. We breed the rest. And we repeat that for many generations. This project is intended to discover the effectiveness of this approach. -
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Genetic Programming in OpenCL is a parallel implementation of genetic programming targeted at heterogeneous devices, such as CPU and GPU. It is written in OpenCL, an open standard for portable parallel programming across many computing platforms.
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Cenobi
cost estimation and management accounting, using neural networks
Cenobi is designed for management accountants, not (only) for statisticians and data mining experts. Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able... -
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deapheap
Deap is a doubly heap for both min and max number access.
A deap is a doubly priority queue for efficient data operations. Both insertion and deletion operations take O(log(N)) time. Access of min or max takes constant time. It can be useful when both min and max are needed in the queue. It can also be used in situations where the number of items is too large and items with low priorities can be dropped with keep memory footprint small.